IPL Matches Report

Dataset statistics

Number of variables	17
Number of observations	1095
Missing cells	104
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	730.3 KiB
Average record size in memory	683.0 B

Variable types

Categorical	7
Text	3
Numeric	7

Alerts

`batting_avg` is highly overall correlated with `runs` and 1 other fields	High correlation
`result` is highly overall correlated with `winner`	High correlation
`runs` is highly overall correlated with `batting_avg`	High correlation
`team2` is highly overall correlated with `toss_winner`	High correlation
`toss_winner` is highly overall correlated with `team2`	High correlation
`wickets` is highly overall correlated with `batting_avg`	High correlation
`winner` is highly overall correlated with `result`	High correlation
`match_type` is highly imbalanced (78.9%)	Imbalance
`batting_avg` has 26 (2.4%) missing values	Missing
`runs` has 26 (2.4%) missing values	Missing
`bowling_avg` has 26 (2.4%) missing values	Missing
`wickets` has 26 (2.4%) missing values	Missing
`bowling_avg` has 303 (27.7%) zeros	Zeros
`wickets` has 382 (34.9%) zeros	Zeros

Reproduction

Analysis started	2025-03-14 14:40:39.935311
Analysis finished	2025-03-14 14:40:44.546882
Duration	4.61 seconds
Software version	ydata-profiling vv4.14.0
Download configuration	config.json

match_type
Categorical

Imbalance

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	59.1 KiB

League	1029
Qualifier	28
Eliminator	21
Final	17

Length

Max length	10
Median length	6
Mean length	6.1378995
Min length	5

Characters and Unicode

Total characters	6721
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	League
2nd row	League
3rd row	League
4th row	League
5th row	League

Common Values

Value	Count	Frequency (%)
League	1029	94.0%
Qualifier	28	2.6%
Eliminator	21	1.9%
Final	17	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
league	1029	94.0%
qualifier	28	2.6%
eliminator	21	1.9%
final	17	1.6%

Most occurring characters

Value	Count	Frequency (%)
e	2086	31.0%
a	1095	16.3%
u	1057	15.7%
L	1029	15.3%
g	1029	15.3%
i	115	1.7%
l	66	1.0%
r	49	0.7%
n	38	0.6%
Q	28	0.4%
Other values (6)	129	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5626	83.7%
Uppercase Letter	1095	16.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2086	37.1%
a	1095	19.5%
u	1057	18.8%
g	1029	18.3%
i	115	2.0%
l	66	1.2%
r	49	0.9%
n	38	0.7%
f	28	0.5%
m	21	0.4%
Other values (2)	42	0.7%

Uppercase Letter

Value	Count	Frequency (%)
L	1029	94.0%
Q	28	2.6%
E	21	1.9%
F	17	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6721	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2086	31.0%
a	1095	16.3%
u	1057	15.7%
L	1029	15.3%
g	1029	15.3%
i	115	1.7%
l	66	1.0%
r	49	0.7%
n	38	0.6%
Q	28	0.4%
Other values (6)	129	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6721	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2086	31.0%
a	1095	16.3%
u	1057	15.7%
L	1029	15.3%
g	1029	15.3%
i	115	1.7%
l	66	1.0%
r	49	0.7%
n	38	0.6%
Q	28	0.4%
Other values (6)	129	1.9%

venue
Text

Distinct	58
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	82.1 KiB

Length

Max length	69
Median length	45
Mean length	27.638356
Min length	8

Characters and Unicode

Total characters	30264
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M Chinnaswamy Stadium
2nd row	Punjab Cricket Association Stadium, Mohali
3rd row	Feroz Shah Kotla
4th row	Wankhede Stadium
5th row	Eden Gardens

Value	Count	Frequency (%)
stadium	852	21.2%
cricket	250	6.2%
international	141	3.5%
association	122	3.0%
wankhede	118	2.9%
gardens	93	2.3%
eden	93	2.3%
ma	85	2.1%
chidambaram	85	2.1%
mumbai	82	2.0%
Other values (96)	2090	52.1%

Most occurring characters

Value	Count	Frequency (%)
a	3961	13.1%
	2916	9.6%
i	2430	8.0%
t	1847	6.1%
d	1652	5.5%
n	1594	5.3%
e	1463	4.8%
r	1317	4.4%
u	1308	4.3%
m	1306	4.3%
Other values (44)	10470	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22489	74.3%
Uppercase Letter	4316	14.3%
Space Separator	2916	9.6%
Other Punctuation	528	1.7%
Dash Punctuation	15	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3961	17.6%
i	2430	10.8%
t	1847	8.2%
d	1652	7.3%
n	1594	7.1%
e	1463	6.5%
r	1317	5.9%
u	1308	5.8%
m	1306	5.8%
h	1105	4.9%
Other values (15)	4506	20.0%

Uppercase Letter

Value	Count	Frequency (%)
S	1227	28.4%
C	582	13.5%
M	450	10.4%
A	372	8.6%
D	184	4.3%
G	184	4.3%
I	167	3.9%
P	162	3.8%
R	137	3.2%
W	126	2.9%
Other values (14)	725	16.8%

Other Punctuation

Value	Count	Frequency (%)
,	461	87.3%
.	60	11.4%
'	7	1.3%

Space Separator

Value	Count	Frequency (%)
	2916	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26805	88.6%
Common	3459	11.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3961	14.8%
i	2430	9.1%
t	1847	6.9%
d	1652	6.2%
n	1594	5.9%
e	1463	5.5%
r	1317	4.9%
u	1308	4.9%
m	1306	4.9%
S	1227	4.6%
Other values (39)	8700	32.5%

Common

Value	Count	Frequency (%)
	2916	84.3%
,	461	13.3%
.	60	1.7%
-	15	0.4%
'	7	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30264	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3961	13.1%
	2916	9.6%
i	2430	8.0%
t	1847	6.1%
d	1652	5.5%
n	1594	5.3%
e	1463	4.8%
r	1317	4.4%
u	1308	4.3%
m	1306	4.3%
Other values (44)	10470	34.6%

team1
Categorical

Distinct	19
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	71.9 KiB

Royal Challengers Bangalore	135
Chennai Super Kings	128
Mumbai Indians	123
Kolkata Knight Riders	121
Rajasthan Royals	101
Other values (14)	487

Length

Max length	27
Median length	22
Mean length	18.100457
Min length	12

Characters and Unicode

Total characters	19820
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Royal Challengers Bangalore
2nd row	Kings XI Punjab
3rd row	Delhi Daredevils
4th row	Mumbai Indians
5th row	Kolkata Knight Riders

Common Values

Value	Count	Frequency (%)
Royal Challengers Bangalore	135	12.3%
Chennai Super Kings	128	11.7%
Mumbai Indians	123	11.2%
Kolkata Knight Riders	121	11.1%
Rajasthan Royals	101	9.2%
Kings XI Punjab	92	8.4%
Sunrisers Hyderabad	86	7.9%
Delhi Daredevils	85	7.8%
Delhi Capitals	41	3.7%
Deccan Chargers	39	3.6%
Other values (9)	144	13.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	251	9.2%
super	151	5.6%
royal	144	5.3%
challengers	144	5.3%
bangalore	135	5.0%
chennai	128	4.7%
delhi	126	4.6%
indians	123	4.5%
mumbai	123	4.5%
punjab	123	4.5%
Other values (26)	1271	46.7%

Most occurring characters

Value	Count	Frequency (%)
a	2296	11.6%
n	1659	8.4%
	1624	8.2%
e	1443	7.3%
i	1337	6.7%
s	1296	6.5%
r	1115	5.6%
l	1057	5.3%
g	727	3.7%
h	666	3.4%
Other values (28)	6600	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15385	77.6%
Uppercase Letter	2811	14.2%
Space Separator	1624	8.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2296	14.9%
n	1659	10.8%
e	1443	9.4%
i	1337	8.7%
s	1296	8.4%
r	1115	7.2%
l	1057	6.9%
g	727	4.7%
h	666	4.3%
u	619	4.0%
Other values (12)	3170	20.6%

Uppercase Letter

Value	Count	Frequency (%)
K	507	18.0%
R	481	17.1%
C	352	12.5%
S	251	8.9%
D	250	8.9%
I	215	7.6%
P	160	5.7%
B	144	5.1%
M	123	4.4%
X	92	3.3%
Other values (5)	236	8.4%

Space Separator

Value	Count	Frequency (%)
	1624	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18196	91.8%
Common	1624	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2296	12.6%
n	1659	9.1%
e	1443	7.9%
i	1337	7.3%
s	1296	7.1%
r	1115	6.1%
l	1057	5.8%
g	727	4.0%
h	666	3.7%
u	619	3.4%
Other values (27)	5981	32.9%

Common

Value	Count	Frequency (%)
	1624	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19820	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2296	11.6%
n	1659	8.4%
	1624	8.2%
e	1443	7.3%
i	1337	6.7%
s	1296	6.5%
r	1115	5.6%
l	1057	5.3%
g	727	3.7%
h	666	3.4%
Other values (28)	6600	33.3%

team2
Categorical

High correlation

Distinct	19
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Mumbai Indians	138
Kolkata Knight Riders	130
Rajasthan Royals	120
Chennai Super Kings	110
Royal Challengers Bangalore	105
Other values (14)	492

Length

Max length	27
Median length	22
Mean length	17.767123
Min length	12

Characters and Unicode

Total characters	19455
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kolkata Knight Riders
2nd row	Chennai Super Kings
3rd row	Rajasthan Royals
4th row	Royal Challengers Bangalore
5th row	Deccan Chargers

Common Values

Value	Count	Frequency (%)
Mumbai Indians	138	12.6%
Kolkata Knight Riders	130	11.9%
Rajasthan Royals	120	11.0%
Chennai Super Kings	110	10.0%
Royal Challengers Bangalore	105	9.6%
Kings XI Punjab	98	8.9%
Sunrisers Hyderabad	96	8.8%
Delhi Daredevils	76	6.9%
Delhi Capitals	50	4.6%
Deccan Chargers	36	3.3%
Other values (9)	136	12.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	233	8.7%
indians	138	5.1%
mumbai	138	5.1%
super	131	4.9%
knight	130	4.8%
riders	130	4.8%
kolkata	130	4.8%
delhi	126	4.7%
punjab	123	4.6%
rajasthan	120	4.5%
Other values (26)	1284	47.9%

Most occurring characters

Value	Count	Frequency (%)
a	2301	11.8%
n	1607	8.3%
	1588	8.2%
i	1364	7.0%
s	1325	6.8%
e	1315	6.8%
r	1056	5.4%
l	953	4.9%
g	653	3.4%
h	640	3.3%
Other values (28)	6653	34.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15086	77.5%
Uppercase Letter	2781	14.3%
Space Separator	1588	8.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2301	15.3%
n	1607	10.7%
i	1364	9.0%
s	1325	8.8%
e	1315	8.7%
r	1056	7.0%
l	953	6.3%
g	653	4.3%
h	640	4.2%
u	621	4.1%
Other values (12)	3251	21.5%

Uppercase Letter

Value	Count	Frequency (%)
K	507	18.2%
R	497	17.9%
C	307	11.0%
S	243	8.7%
D	238	8.6%
I	236	8.5%
P	162	5.8%
M	138	5.0%
B	111	4.0%
X	98	3.5%
Other values (5)	244	8.8%

Space Separator

Value	Count	Frequency (%)
	1588	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17867	91.8%
Common	1588	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2301	12.9%
n	1607	9.0%
i	1364	7.6%
s	1325	7.4%
e	1315	7.4%
r	1056	5.9%
l	953	5.3%
g	653	3.7%
h	640	3.6%
u	621	3.5%
Other values (27)	6032	33.8%

Common

Value	Count	Frequency (%)
	1588	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19455	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2301	11.8%
n	1607	8.3%
	1588	8.2%
i	1364	7.0%
s	1325	6.8%
e	1315	6.8%
r	1056	5.4%
l	953	4.9%
g	653	3.4%
h	640	3.3%
Other values (28)	6653	34.2%

toss_winner
Categorical

High correlation

Distinct	19
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	71.6 KiB

Mumbai Indians	143
Kolkata Knight Riders	122
Chennai Super Kings	122
Rajasthan Royals	120
Royal Challengers Bangalore	113
Other values (14)	475

Length

Max length	27
Median length	22
Mean length	17.83105
Min length	12

Characters and Unicode

Total characters	19525
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Royal Challengers Bangalore
2nd row	Chennai Super Kings
3rd row	Rajasthan Royals
4th row	Mumbai Indians
5th row	Deccan Chargers

Common Values

Value	Count	Frequency (%)
Mumbai Indians	143	13.1%
Kolkata Knight Riders	122	11.1%
Chennai Super Kings	122	11.1%
Rajasthan Royals	120	11.0%
Royal Challengers Bangalore	113	10.3%
Sunrisers Hyderabad	88	8.0%
Kings XI Punjab	85	7.8%
Delhi Daredevils	80	7.3%
Delhi Capitals	50	4.6%
Deccan Chargers	43	3.9%
Other values (9)	129	11.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	231	8.6%
mumbai	143	5.3%
indians	143	5.3%
super	141	5.3%
delhi	130	4.9%
chennai	122	4.6%
riders	122	4.6%
knight	122	4.6%
kolkata	122	4.6%
royal	121	4.5%
Other values (26)	1283	47.9%

Most occurring characters

Value	Count	Frequency (%)
a	2323	11.9%
n	1619	8.3%
	1585	8.1%
e	1362	7.0%
i	1354	6.9%
s	1318	6.8%
r	1061	5.4%
l	994	5.1%
h	666	3.4%
g	664	3.4%
Other values (28)	6579	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15175	77.7%
Uppercase Letter	2765	14.2%
Space Separator	1585	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2323	15.3%
n	1619	10.7%
e	1362	9.0%
i	1354	8.9%
s	1318	8.7%
r	1061	7.0%
l	994	6.6%
h	666	4.4%
g	664	4.4%
u	607	4.0%
Other values (12)	3207	21.1%

Uppercase Letter

Value	Count	Frequency (%)
R	496	17.9%
K	491	17.8%
C	336	12.2%
D	253	9.2%
S	242	8.8%
I	228	8.2%
M	143	5.2%
P	142	5.1%
B	121	4.4%
H	88	3.2%
Other values (5)	225	8.1%

Space Separator

Value	Count	Frequency (%)
	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17940	91.9%
Common	1585	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2323	12.9%
n	1619	9.0%
e	1362	7.6%
i	1354	7.5%
s	1318	7.3%
r	1061	5.9%
l	994	5.5%
h	666	3.7%
g	664	3.7%
u	607	3.4%
Other values (27)	5972	33.3%

Common

Value	Count	Frequency (%)
	1585	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2323	11.9%
n	1619	8.3%
	1585	8.1%
e	1362	7.0%
i	1354	6.9%
s	1318	6.8%
r	1061	5.4%
l	994	5.1%
h	666	3.4%
g	664	3.4%
Other values (28)	6579	33.7%

toss_decision
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	57.1 KiB

field	704
bat	391

Length

Max length	5
Median length	5
Mean length	4.2858447
Min length	3

Characters and Unicode

Total characters	4693
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	field
2nd row	bat
3rd row	bat
4th row	bat
5th row	bat

Common Values

Value	Count	Frequency (%)
field	704	64.3%
bat	391	35.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
field	704	64.3%
bat	391	35.7%

Most occurring characters

Value	Count	Frequency (%)
f	704	15.0%
i	704	15.0%
e	704	15.0%
l	704	15.0%
d	704	15.0%
b	391	8.3%
a	391	8.3%
t	391	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4693	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	704	15.0%
i	704	15.0%
e	704	15.0%
l	704	15.0%
d	704	15.0%
b	391	8.3%
a	391	8.3%
t	391	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4693	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	704	15.0%
i	704	15.0%
e	704	15.0%
l	704	15.0%
d	704	15.0%
b	391	8.3%
a	391	8.3%
t	391	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4693	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	704	15.0%
i	704	15.0%
e	704	15.0%
l	704	15.0%
d	704	15.0%
b	391	8.3%
a	391	8.3%
t	391	8.3%

winner
Categorical

High correlation

Distinct	20
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	71.7 KiB

Mumbai Indians	144
Chennai Super Kings	138
Kolkata Knight Riders	131
Royal Challengers Bangalore	116
Rajasthan Royals	112
Other values (15)	454

Length

Max length	27
Median length	22
Mean length	17.952511
Min length	9

Characters and Unicode

Total characters	19658
Distinct characters	39
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kolkata Knight Riders
2nd row	Chennai Super Kings
3rd row	Delhi Daredevils
4th row	Royal Challengers Bangalore
5th row	Kolkata Knight Riders

Common Values

Value	Count	Frequency (%)
Mumbai Indians	144	13.2%
Chennai Super Kings	138	12.6%
Kolkata Knight Riders	131	12.0%
Royal Challengers Bangalore	116	10.6%
Rajasthan Royals	112	10.2%
Kings XI Punjab	88	8.0%
Sunrisers Hyderabad	88	8.0%
Delhi Daredevils	67	6.1%
Delhi Capitals	48	4.4%
Deccan Chargers	29	2.6%
Other values (10)	134	12.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	250	9.2%
super	162	6.0%
mumbai	144	5.3%
indians	144	5.3%
chennai	138	5.1%
kolkata	131	4.8%
knight	131	4.8%
riders	131	4.8%
challengers	123	4.5%
royal	123	4.5%
Other values (28)	1238	45.6%

Most occurring characters

Value	Count	Frequency (%)
a	2303	11.7%
n	1688	8.6%
	1620	8.2%
i	1389	7.1%
e	1342	6.8%
s	1301	6.6%
r	1037	5.3%
l	971	4.9%
g	686	3.5%
h	654	3.3%
Other values (29)	6667	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15240	77.5%
Uppercase Letter	2798	14.2%
Space Separator	1620	8.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2303	15.1%
n	1688	11.1%
i	1389	9.1%
e	1342	8.8%
s	1301	8.5%
r	1037	6.8%
l	971	6.4%
g	686	4.5%
h	654	4.3%
u	633	4.2%
Other values (12)	3236	21.2%

Uppercase Letter

Value	Count	Frequency (%)
K	524	18.7%
R	493	17.6%
C	338	12.1%
S	265	9.5%
I	232	8.3%
D	211	7.5%
M	144	5.1%
P	139	5.0%
B	123	4.4%
X	88	3.1%
Other values (6)	241	8.6%

Space Separator

Value	Count	Frequency (%)
	1620	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18038	91.8%
Common	1620	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2303	12.8%
n	1688	9.4%
i	1389	7.7%
e	1342	7.4%
s	1301	7.2%
r	1037	5.7%
l	971	5.4%
g	686	3.8%
h	654	3.6%
u	633	3.5%
Other values (28)	6034	33.5%

Common

Value	Count	Frequency (%)
	1620	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19658	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2303	11.7%
n	1688	8.6%
	1620	8.2%
i	1389	7.1%
e	1342	6.8%
s	1301	6.6%
r	1037	5.3%
l	971	4.9%
g	686	3.5%
h	654	3.3%
Other values (29)	6667	33.9%

result
Categorical

High correlation

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	58.5 KiB

wickets	578
runs	498
tie	14
no result	5

Length

Max length	9
Median length	7
Mean length	5.5936073
Min length	3

Characters and Unicode

Total characters	6125
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	runs
2nd row	runs
3rd row	wickets
4th row	wickets
5th row	wickets

Common Values

Value	Count	Frequency (%)
wickets	578	52.8%
runs	498	45.5%
tie	14	1.3%
no result	5	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
wickets	578	52.5%
runs	498	45.3%
tie	14	1.3%
no	5	0.5%
result	5	0.5%

Most occurring characters

Value	Count	Frequency (%)
s	1081	17.6%
e	597	9.7%
t	597	9.7%
i	592	9.7%
w	578	9.4%
c	578	9.4%
k	578	9.4%
r	503	8.2%
u	503	8.2%
n	503	8.2%
Other values (3)	15	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6120	99.9%
Space Separator	5	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	1081	17.7%
e	597	9.8%
t	597	9.8%
i	592	9.7%
w	578	9.4%
c	578	9.4%
k	578	9.4%
r	503	8.2%
u	503	8.2%
n	503	8.2%
Other values (2)	10	0.2%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6120	99.9%
Common	5	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	1081	17.7%
e	597	9.8%
t	597	9.8%
i	592	9.7%
w	578	9.4%
c	578	9.4%
k	578	9.4%
r	503	8.2%
u	503	8.2%
n	503	8.2%
Other values (2)	10	0.2%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6125	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	1081	17.6%
e	597	9.7%
t	597	9.7%
i	592	9.7%
w	578	9.4%
c	578	9.4%
k	578	9.4%
r	503	8.2%
u	503	8.2%
n	503	8.2%
Other values (3)	15	0.2%

result_margin
Real number (ℝ)

Distinct	99
Distinct (%)	9.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.942466

Minimum	-1
Maximum	146
Zeros	0
Zeros (%)	0.0%
Negative	19
Negative (%)	1.7%
Memory size	8.7 KiB

Quantile statistics

Minimum	-1
5-th percentile	2
Q1	5
median	8
Q3	19
95-th percentile	65
Maximum	146
Range	147
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	21.728745
Coefficient of variation (CV)	1.2825019
Kurtosis	7.5661907
Mean	16.942466
Median Absolute Deviation (MAD)	3
Skewness	2.5767867
Sum	18552
Variance	472.13837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	131	12.0%
7	130	11.9%
5	109	10.0%
8	85	7.8%
4	74	6.8%
9	59	5.4%
3	39	3.6%
10	33	3.0%
2	21	1.9%
-1	19	1.7%
Other values (89)	395	36.1%

Value	Count	Frequency (%)
-1	19	1.7%
1	18	1.6%
2	21	1.9%
3	39	3.6%
4	74	6.8%
5	109	10.0%
6	131	12.0%
7	130	11.9%
8	85	7.8%
9	59	5.4%

Value	Count	Frequency (%)
146	1	0.1%
144	1	0.1%
140	1	0.1%
138	1	0.1%
130	1	0.1%
118	1	0.1%
112	1	0.1%
111	1	0.1%
106	1	0.1%
105	1	0.1%

target_runs
Real number (ℝ)

Distinct	171
Distinct (%)	15.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	165.23014

Minimum	0
Maximum	288
Zeros	3
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	8.7 KiB

Quantile statistics

Minimum	0
5-th percentile	111
Q1	146
median	166
Q3	187
95-th percentile	218.3
Maximum	288
Range	288
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	34.487313
Coefficient of variation (CV)	0.2087229
Kurtosis	1.9777639
Mean	165.23014
Median Absolute Deviation (MAD)	20
Skewness	-0.48616158
Sum	180927
Variance	1189.3748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
172	21	1.9%
166	21	1.9%
165	20	1.8%
188	20	1.8%
163	19	1.7%
179	17	1.6%
164	17	1.6%
169	17	1.6%
155	16	1.5%
178	16	1.5%
Other values (161)	911	83.2%

Value	Count	Frequency (%)
0	3	0.3%
43	1	0.1%
48	1	0.1%
52	1	0.1%
53	1	0.1%
54	1	0.1%
58	1	0.1%
61	1	0.1%
63	1	0.1%
66	1	0.1%

Value	Count	Frequency (%)
288	1	0.1%
278	1	0.1%
273	1	0.1%
267	1	0.1%
264	1	0.1%
262	1	0.1%
258	2	0.2%
249	1	0.1%
247	1	0.1%
246	1	0.1%

target_overs
Real number (ℝ)

Distinct	16
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.705205

Minimum	0
Maximum	20
Zeros	3
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	8.7 KiB

Quantile statistics

Minimum	0
5-th percentile	20
Q1	20
median	20
Q3	20
95-th percentile	20
Maximum	20
Range	20
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.8869998
Coefficient of variation (CV)	0.095761486
Kurtosis	56.691548
Mean	19.705205
Median Absolute Deviation (MAD)	0
Skewness	-7.2656479
Sum	21577.2
Variance	3.5607681
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
20	1062	97.0%
6	4	0.4%
16	3	0.3%
8	3	0.3%
10	3	0.3%
0	3	0.3%
12	3	0.3%
18	2	0.2%
17	2	0.2%
13	2	0.2%
Other values (6)	8	0.7%

Value	Count	Frequency (%)
0	3	0.3%
5	2	0.2%
6	4	0.4%
8	3	0.3%
9	1	0.1%
9.2	1	0.1%
10	3	0.3%
11	2	0.2%
12	3	0.3%
13	2	0.2%

Value	Count	Frequency (%)
20	1062	97.0%
18	2	0.2%
17	2	0.2%
16	3	0.3%
15	1	0.1%
14	1	0.1%
13	2	0.2%
12	3	0.3%
11	2	0.2%
10	3	0.3%

umpire1
Text

Distinct	62
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Memory size	64.5 KiB

Length

Max length	21
Median length	16
Mean length	11.221918
Min length	5

Characters and Unicode

Total characters	12288
Distinct characters	48
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	Asad Rauf
2nd row	MR Benson
3rd row	Aleem Dar
4th row	SJ Davis
5th row	BF Bowden

Value	Count	Frequency (%)
ak	115	5.2%
chaudhary	115	5.2%
hdpk	79	3.6%
dharmasena	79	3.6%
s	77	3.5%
kn	59	2.7%
ananthapadmanabhan	59	2.7%
cb	53	2.4%
gaffaney	53	2.4%
asad	51	2.3%
Other values (109)	1480	66.7%

Most occurring characters

Value	Count	Frequency (%)
a	1669	13.6%
	1125	9.2%
n	929	7.6%
e	656	5.3%
h	642	5.2%
r	607	4.9%
d	516	4.2%
A	409	3.3%
K	377	3.1%
o	352	2.9%
Other values (38)	5006	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8036	65.4%
Uppercase Letter	3127	25.4%
Space Separator	1125	9.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1669	20.8%
n	929	11.6%
e	656	8.2%
h	642	8.0%
r	607	7.6%
d	516	6.4%
o	352	4.4%
s	341	4.2%
i	336	4.2%
u	284	3.5%
Other values (14)	1704	21.2%

Uppercase Letter

Value	Count	Frequency (%)
A	409	13.1%
K	377	12.1%
D	322	10.3%
C	240	7.7%
B	234	7.5%
R	225	7.2%
N	216	6.9%
S	186	5.9%
M	145	4.6%
J	133	4.3%
Other values (13)	640	20.5%

Space Separator

Value	Count	Frequency (%)
	1125	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11163	90.8%
Common	1125	9.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1669	15.0%
n	929	8.3%
e	656	5.9%
h	642	5.8%
r	607	5.4%
d	516	4.6%
A	409	3.7%
K	377	3.4%
o	352	3.2%
s	341	3.1%
Other values (37)	4665	41.8%

Common

Value	Count	Frequency (%)
	1125	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12288	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1669	13.6%
	1125	9.2%
n	929	7.6%
e	656	5.3%
h	642	5.2%
r	607	4.9%
d	516	4.2%
A	409	3.3%
K	377	3.1%
o	352	2.9%
Other values (38)	5006	40.7%

umpire2
Text

Distinct	62
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Length

Max length	21
Median length	16
Mean length	10.311416
Min length	5

Characters and Unicode

Total characters	11291
Distinct characters	49
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.5%

Sample

1st row	RE Koertzen
2nd row	SL Shastri
3rd row	GA Pratapkumar
4th row	DJ Harper
5th row	K Hariharan

Value	Count	Frequency (%)
s	99	4.5%
ravi	83	3.7%
sharma	79	3.6%
vk	61	2.7%
c	60	2.7%
shamshuddin	60	2.7%
nitin	54	2.4%
menon	54	2.4%
sja	54	2.4%
taufel	54	2.4%
Other values (108)	1566	70.4%

Most occurring characters

Value	Count	Frequency (%)
a	1310	11.6%
	1129	10.0%
n	791	7.0%
r	599	5.3%
i	569	5.0%
e	550	4.9%
h	516	4.6%
S	461	4.1%
d	400	3.5%
K	334	3.0%
Other values (39)	4632	41.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7069	62.6%
Uppercase Letter	3093	27.4%
Space Separator	1129	10.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1310	18.5%
n	791	11.2%
r	599	8.5%
i	569	8.0%
e	550	7.8%
h	516	7.3%
d	400	5.7%
u	288	4.1%
o	247	3.5%
l	238	3.4%
Other values (15)	1561	22.1%

Uppercase Letter

Value	Count	Frequency (%)
S	461	14.9%
K	334	10.8%
R	288	9.3%
A	231	7.5%
N	202	6.5%
J	191	6.2%
T	186	6.0%
C	180	5.8%
V	159	5.1%
B	134	4.3%
Other values (13)	727	23.5%

Space Separator

Value	Count	Frequency (%)
	1129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10162	90.0%
Common	1129	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1310	12.9%
n	791	7.8%
r	599	5.9%
i	569	5.6%
e	550	5.4%
h	516	5.1%
S	461	4.5%
d	400	3.9%
K	334	3.3%
R	288	2.8%
Other values (38)	4344	42.7%

Common

Value	Count	Frequency (%)
	1129	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11291	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1310	11.6%
	1129	10.0%
n	791	7.0%
r	599	5.3%
i	569	5.0%
e	550	4.9%
h	516	4.6%
S	461	4.1%
d	400	3.5%
K	334	3.0%
Other values (39)	4632	41.0%

batting_avg
Real number (ℝ)

High correlation Missing

Distinct	251
Distinct (%)	23.5%
Missing	26
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	18.4629

Minimum	0.03
Maximum	39.34
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.7 KiB

Quantile statistics

Minimum	0.03
5-th percentile	0.5
Q1	5.11
median	21.46
Q3	27.53
95-th percentile	35.44
Maximum	39.34
Range	39.31
Interquartile range (IQR)	22.42

Descriptive statistics

Standard deviation	11.94888
Coefficient of variation (CV)	0.64718329
Kurtosis	-1.2869203
Mean	18.4629
Median Absolute Deviation (MAD)	9.02
Skewness	-0.26731063
Sum	19736.84
Variance	142.77574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.48	25	2.3%
35.44	22	2.0%
26.61	19	1.7%
30.71	18	1.6%
36.31	18	1.6%
21.46	18	1.6%
24.28	17	1.6%
26.76	16	1.5%
0.47	16	1.5%
20.01	16	1.5%
Other values (241)	884	80.7%
(Missing)	26	2.4%

Value	Count	Frequency (%)
0.03	2	0.2%
0.09	1	0.1%
0.12	2	0.2%
0.14	1	0.1%
0.18	1	0.1%
0.24	2	0.2%
0.25	1	0.1%
0.26	2	0.2%
0.27	3	0.3%
0.28	6	0.5%

Value	Count	Frequency (%)
39.34	13	1.2%
37.21	3	0.3%
36.73	2	0.2%
36.31	18	1.6%
36.07	9	0.8%
36.06	2	0.2%
36	4	0.4%
35.44	22	2.0%
34.96	13	1.2%
34.59	4	0.4%

runs
Real number (ℝ)

High correlation Missing

Distinct	233
Distinct (%)	21.8%
Missing	26
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	2032.6548

Minimum	1
Maximum	6634
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.7 KiB

Quantile statistics

Minimum	1
5-th percentile	26
Q1	251
median	1588
Q3	3222
95-th percentile	5881
Maximum	6634
Range	6633
Interquartile range (IQR)	2971

Descriptive statistics

Standard deviation	1902.9034
Coefficient of variation (CV)	0.93616651
Kurtosis	-0.54382343
Mean	2032.6548
Median Absolute Deviation (MAD)	1358
Skewness	0.75479155
Sum	2172908
Variance	3621041.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5181	25	2.3%
4997	22	2.0%
5881	19	1.7%
5883	18	1.6%
6634	18	1.6%
4978	17	1.6%
2502	16	1.5%
3880	16	1.5%
3222	16	1.5%
2039	15	1.4%
Other values (223)	887	81.0%
(Missing)	26	2.4%

Value	Count	Frequency (%)
1	5	0.5%
2	3	0.3%
4	7	0.6%
5	3	0.3%
6	2	0.2%
7	1	0.1%
8	3	0.3%
9	1	0.1%
10	1	0.1%
11	2	0.2%

Value	Count	Frequency (%)
6634	18	1.6%
6244	12	1.1%
5883	18	1.6%
5881	19	1.7%
5536	14	1.3%
5181	25	2.3%
4997	22	2.0%
4978	17	1.6%
4954	7	0.6%
4377	7	0.6%

bowling_avg
Real number (ℝ)

Missing Zeros

Distinct	194
Distinct (%)	18.1%
Missing	26
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	15558.427

Minimum	0
Maximum	760000
Zeros	303
Zeros (%)	27.7%
Negative	0
Negative (%)	0.0%
Memory size	8.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	27.34
Q3	34.36
95-th percentile	70000
Maximum	760000
Range	760000
Interquartile range (IQR)	34.36

Descriptive statistics

Standard deviation	76343.974
Coefficient of variation (CV)	4.9069212
Kurtosis	41.535767
Mean	15558.427
Median Absolute Deviation (MAD)	9.66
Skewness	6.231224
Sum	16631958
Variance	5.8284024 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	303	27.7%
41.94	22	2.0%
25.7	19	1.7%
30.8	19	1.7%
92.75	18	1.6%
20000	18	1.6%
29.8	16	1.5%
34.36	16	1.5%
31.17	16	1.5%
24.88	15	1.4%
Other values (184)	607	55.4%
(Missing)	26	2.4%

Value	Count	Frequency (%)
0	303	27.7%
5	13	1.2%
10.8	1	0.1%
12.5	2	0.2%
14.43	1	0.1%
16.5	1	0.1%
17.76	1	0.1%
18	13	1.2%
18.24	6	0.5%
19.19	2	0.2%

Value	Count	Frequency (%)
760000	1	0.1%
590000	8	0.7%
500000	1	0.1%
490000	6	0.5%
310000	6	0.5%
260000	3	0.3%
240000	3	0.3%
200000	1	0.1%
160000	10	0.9%
120000	4	0.4%

wickets
Real number (ℝ)

High correlation Missing Zeros

Distinct	87
Distinct (%)	8.1%
Missing	26
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	37.118803

Minimum	0
Maximum	183
Zeros	382
Zeros (%)	34.9%
Negative	0
Negative (%)	0.0%
Memory size	8.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	13
Q3	61
95-th percentile	152
Maximum	183
Range	183
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	49.01685
Coefficient of variation (CV)	1.3205396
Kurtosis	0.56343494
Mean	37.118803
Median Absolute Deviation (MAD)	13
Skewness	1.3042883
Sum	39680
Variance	2402.6516
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	382	34.9%
4	36	3.3%
1	36	3.3%
92	27	2.5%
42	26	2.4%
18	23	2.1%
15	20	1.8%
28	19	1.7%
166	18	1.6%
7	18	1.6%
Other values (77)	464	42.4%
(Missing)	26	2.4%

Value	Count	Frequency (%)
0	382	34.9%
1	36	3.3%
2	4	0.4%
3	4	0.4%
4	36	3.3%
5	5	0.5%
6	14	1.3%
7	18	1.6%
8	3	0.3%
9	9	0.8%

Value	Count	Frequency (%)
183	4	0.4%
170	6	0.5%
166	18	1.6%
157	9	0.8%
154	6	0.5%
152	15	1.4%
150	8	0.7%
148	10	0.9%
135	10	0.9%
132	16	1.5%

	batting_avg	bowling_avg	match_type	result	result_margin	runs	target_overs	target_runs	team1	team2	toss_decision	toss_winner	wickets	winner
batting_avg	1.000	-0.089	0.000	0.000	0.088	0.806	0.002	0.322	0.103	0.115	0.059	0.104	-0.684	0.224
bowling_avg	-0.089	1.000	0.069	0.000	0.025	0.013	-0.040	-0.076	0.032	0.045	0.000	0.027	0.294	0.137
match_type	0.000	0.069	1.000	0.000	0.000	0.000	0.000	0.000	0.052	0.041	0.047	0.000	0.000	0.000
result	0.000	0.000	0.000	1.000	0.417	0.000	0.455	0.499	0.041	0.031	0.000	0.000	0.000	0.574
result_margin	0.088	0.025	0.000	0.417	1.000	0.064	0.017	0.305	0.000	0.000	0.000	0.041	-0.059	0.000
runs	0.806	0.013	0.000	0.000	0.064	1.000	0.007	0.258	0.123	0.102	0.015	0.117	-0.442	0.244
target_overs	0.002	-0.040	0.000	0.455	0.017	0.007	1.000	0.225	0.064	0.000	0.000	0.117	0.002	0.310
target_runs	0.322	-0.076	0.000	0.499	0.305	0.258	0.225	1.000	0.058	0.082	0.130	0.106	-0.274	0.267
team1	0.103	0.032	0.052	0.041	0.000	0.123	0.064	0.058	1.000	0.076	0.186	0.382	0.101	0.459
team2	0.115	0.045	0.041	0.031	0.000	0.102	0.000	0.082	0.076	1.000	0.096	0.599	0.064	0.464
toss_decision	0.059	0.000	0.047	0.000	0.000	0.015	0.000	0.130	0.186	0.096	1.000	0.140	0.000	0.145
toss_winner	0.104	0.027	0.000	0.000	0.041	0.117	0.117	0.106	0.382	0.599	0.140	1.000	0.084	0.489
wickets	-0.684	0.294	0.000	0.000	-0.059	-0.442	0.002	-0.274	0.101	0.064	0.000	0.084	1.000	0.182
winner	0.224	0.137	0.000	0.574	0.000	0.244	0.310	0.267	0.459	0.464	0.145	0.489	0.182	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	match_type	venue	team1	team2	toss_winner	toss_decision	winner	result	result_margin	target_runs	target_overs	umpire1	umpire2	batting_avg	runs	bowling_avg	wickets
0	League	M Chinnaswamy Stadium	Royal Challengers Bangalore	Kolkata Knight Riders	Royal Challengers Bangalore	field	Kolkata Knight Riders	runs	140.0	223.0	20.0	Asad Rauf	RE Koertzen	26.44	2882.0	0.00	0.0
1	League	Punjab Cricket Association Stadium, Mohali	Kings XI Punjab	Chennai Super Kings	Chennai Super Kings	bat	Chennai Super Kings	runs	33.0	241.0	20.0	MR Benson	SL Shastri	34.09	1977.0	0.00	0.0
2	League	Feroz Shah Kotla	Delhi Daredevils	Rajasthan Royals	Rajasthan Royals	bat	Delhi Daredevils	wickets	9.0	130.0	20.0	Aleem Dar	GA Pratapkumar	8.85	177.0	19.70	27.0
3	League	Wankhede Stadium	Mumbai Indians	Royal Challengers Bangalore	Mumbai Indians	bat	Royal Challengers Bangalore	wickets	5.0	166.0	20.0	SJ Davis	DJ Harper	17.13	394.0	0.00	0.0
4	League	Eden Gardens	Kolkata Knight Riders	Deccan Chargers	Deccan Chargers	bat	Kolkata Knight Riders	wickets	5.0	111.0	20.0	BF Bowden	K Hariharan	21.67	1322.0	60.62	8.0
5	League	Sawai Mansingh Stadium	Rajasthan Royals	Kings XI Punjab	Kings XI Punjab	bat	Rajasthan Royals	wickets	6.0	167.0	20.0	Aleem Dar	RB Tiffin	26.76	3880.0	29.80	92.0
6	League	Rajiv Gandhi International Stadium, Uppal	Deccan Chargers	Delhi Daredevils	Deccan Chargers	bat	Delhi Daredevils	wickets	9.0	143.0	20.0	IL Howell	AM Saheba	26.23	2728.0	39.33	6.0
7	League	MA Chidambaram Stadium, Chepauk	Chennai Super Kings	Mumbai Indians	Mumbai Indians	field	Chennai Super Kings	runs	6.0	209.0	20.0	DJ Harper	GA Pratapkumar	34.59	1107.0	0.00	0.0
8	League	Rajiv Gandhi International Stadium, Uppal	Deccan Chargers	Rajasthan Royals	Rajasthan Royals	field	Rajasthan Royals	wickets	3.0	215.0	20.0	Asad Rauf	MR Benson	20.01	3222.0	34.36	42.0
9	League	Punjab Cricket Association Stadium, Mohali	Kings XI Punjab	Mumbai Indians	Mumbai Indians	field	Kings XI Punjab	runs	66.0	183.0	20.0	Aleem Dar	AM Saheba	24.81	1687.0	0.00	0.0

	match_type	venue	team1	team2	toss_winner	toss_decision	winner	result	result_margin	target_runs	target_overs	umpire1	umpire2	batting_avg	runs	bowling_avg	wickets
1085	League	M Chinnaswamy Stadium, Bengaluru	Royal Challengers Bengaluru	Delhi Capitals	Delhi Capitals	field	Royal Challengers Bengaluru	runs	47.0	188.0	20.0	A Nand Kishore	VA Kulkarni	NaN	NaN	NaN	NaN
1086	League	Arun Jaitley Stadium, Delhi	Delhi Capitals	Lucknow Super Giants	Lucknow Super Giants	field	Delhi Capitals	runs	19.0	209.0	20.0	A Totre	Vinod Seshan	0.59	55.0	38.60	72.0
1087	League	Barsapara Cricket Stadium, Guwahati	Rajasthan Royals	Punjab Kings	Rajasthan Royals	bat	Punjab Kings	wickets	5.0	145.0	20.0	R Pandit	MV Saidharshan Kumar	10.53	337.0	31.41	32.0
1088	League	Wankhede Stadium, Mumbai	Lucknow Super Giants	Mumbai Indians	Mumbai Indians	field	Lucknow Super Giants	runs	18.0	215.0	20.0	Navdeep Singh	R Pandit	21.21	912.0	0.00	0.0
1089	League	M Chinnaswamy Stadium, Bengaluru	Royal Challengers Bengaluru	Chennai Super Kings	Chennai Super Kings	field	Royal Challengers Bengaluru	runs	27.0	219.0	20.0	A Totre	KN Ananthapadmanabhan	31.22	3403.0	160000.00	0.0
1090	League	Rajiv Gandhi International Stadium, Uppal, Hyderabad	Punjab Kings	Sunrisers Hyderabad	Punjab Kings	bat	Sunrisers Hyderabad	wickets	4.0	215.0	20.0	Nitin Menon	VK Sharma	18.53	667.0	31.14	7.0
1091	Qualifier	Narendra Modi Stadium, Ahmedabad	Sunrisers Hyderabad	Kolkata Knight Riders	Sunrisers Hyderabad	bat	Kolkata Knight Riders	wickets	8.0	160.0	20.0	AK Chaudhary	R Pandit	3.69	96.0	21.32	34.0
1092	Eliminator	Narendra Modi Stadium, Ahmedabad	Royal Challengers Bengaluru	Rajasthan Royals	Rajasthan Royals	field	Rajasthan Royals	wickets	4.0	173.0	20.0	KN Ananthapadmanabhan	MV Saidharshan Kumar	3.57	647.0	29.27	157.0
1093	Qualifier	MA Chidambaram Stadium, Chepauk, Chennai	Sunrisers Hyderabad	Rajasthan Royals	Rajasthan Royals	field	Sunrisers Hyderabad	runs	36.0	176.0	20.0	Nitin Menon	VK Sharma	10.73	279.0	36.77	13.0
1094	Final	MA Chidambaram Stadium, Chepauk, Chennai	Sunrisers Hyderabad	Kolkata Knight Riders	Sunrisers Hyderabad	bat	Kolkata Knight Riders	wickets	8.0	114.0	20.0	J Madanagopal	Nitin Menon	3.69	96.0	21.32	34.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters